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AI Jobs: How to Thrive in the Age of Automation

12min Read

Discover the future of AI jobs! Learn how to thrive in the age of automation by adapting your skills, embracing new opportunities, and leveraging technology to stay ahead in a rapidly changing job market.

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Artificial intelligence (AI) refers to the ability of machines and software to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. The rise of automation has already resulted in the displacement of some jobs, and the continued growth of AI is expected to significantly impact the job market.

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However, it’s not all doom and gloom; there are also many opportunities for new and emerging jobs in AI-related fields. This article examines the AI job landscape, the skills required, and industries adopting AI. We’ll discuss upskilling and continuous learning’s importance in the automation era and offer insights on preparing for emerging AI job roles.

Understanding AI’s impact on the job market

Artificial intelligence has been one of the most transformative technological developments of the 21st century. From healthcare to finance, AI is transforming industries and revolutionizing the way we work. However, as AI technology advances and becomes more prevalent, it’s also having a significant impact on the job market. 

Here are some of the industries that have been most impacted by AI and automation:


The manufacturing industry has been an early adopter of automation technology. Many are now commonly using robots to perform repetitive and physically demanding tasks like welding, painting, and assembly line work.


The healthcare industry is increasingly using AI technology for tasks like medical image analysis, drug discovery, and patient monitoring. This technology can help doctors and healthcare professionals make more accurate diagnoses, improve patient outcomes, and reduce healthcare costs.


The finance industry has been impacted by AI in various ways. For example, companies use AI-powered chatbots to improve customer service and deploy machine learning (ML) algorithms for fraud detection and risk management.

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Jobs AI

AI in the job market – Image via Freepik


Impacted by AI, the retail industry is now utilizing chatbots for customer service and has integrated AI technology into inventory management and supply chain optimization.


AI has revolutionized the transportation sector with the advent of automatic cars and trucks. A notable decrease in accidents due to human error is anticipated, and a potential reduction in transportation costs may result from a diminished reliance on human drivers.


AI technology is being increasingly used in the education industry for tasks such as grading, student engagement, and personalized learning. This technology can help teachers provide more effective instruction and improve student outcomes.


The agricultural sector has experienced the influence of artificial intelligence through the implementation of precision farming techniques. These advanced technologies enable farmers to maximize crop production and minimize waste by employing data-driven AI algorithms to assess elements like soil moisture, weather patterns, and crop health.

While these are some of the most impacted industries, AI and automation are expected to have a significant impact on virtually every industry in the coming years. This means that it’s important for workers in all industries to develop the necessary skills to succeed in the age of automation.

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Jobs in AI

The AI sector offers a wide range of job opportunities across different industries. But to get your dream job, you need to have an outstanding resume. Leverage the power of Teal Resume Builder for this task.

Here are some of the most common job opportunities in the AI sector:

Machine learning engineer

A machine learning engineer is a specialized software engineer who designs, develops, and deploys ML models and algorithms to solve complex problems. They work closely with data scientists and software developers to implement ML algorithms that can learn from data and make predictions.

Data scientist

A data scientist is responsible for collecting and analyzing large amounts of data to identify patterns and insights that can inform business decisions. They use statistical analysis and ML algorithms to extract insights from data.

Robotics engineer

A robotics engineer is responsible for designing and developing robots and automated systems. They work in areas such as manufacturing, healthcare, and transportation.

AI ethics

As AI technology becomes more advanced and widespread, there is an increasing need for professionals who can ensure that the technology is being developed and used ethically. This includes roles such as AI ethicists, AI policy analysts, and AI lawyers.

Human-machine interaction

As AI technology becomes more prevalent in various industries, there is a growing need for professionals who can design and develop interfaces that allow humans to interact effectively with AI systems. This includes roles such as human-computer interaction designers and user experience (UX) designers.

Natural language processing 

Natural language processing (NLP) is a subset of AI that is dedicated to equipping computers with the ability to comprehend, interpret, and produce human language in a manner that is relevant and beneficial. NLP professionals help to develop and implement technologies such as voice assistants, chatbots, and machine translation.

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Job roles in AI – Image via Pixabay

AI developer

An AI developer is responsible for developing software and applications that use AI algorithms and models. They work in areas such as chatbots, voice assistants, and recommendation engines.

Data engineer

A data engineer is a professional who designs, builds, and maintains data systems and pipelines. They are responsible for the efficient storage, organization, and retrieval of large volumes of data. They work in areas such as data storage, data processing, and data pipelines.

AI product manager

An AI product manager is responsible for developing and managing AI products and services. They work closely with engineers, data scientists, and business leaders to identify customer needs and develop AI solutions that meet those needs.

Chatbot developer

A chatbot developer is responsible for developing and implementing chatbots for customer service and other applications. They use NLP and ML to create chatbots that can understand and respond to customer inquiries.

Business intelligence developer

A business intelligence developer is responsible for developing and implementing business intelligence solutions that use AI algorithms and models. They work in areas such as data analysis, forecasting, and decision-making.

Autonomous systems

As self-driving cars and other autonomous systems become more prevalent, there is a growing need for professionals who can develop and maintain these systems. This includes roles such as autonomous systems engineers and autonomous systems testers.

AI-driven creativity

AI technology is increasingly being used to create art, music, and other creative content. This has led to the emergence of roles such as AI-driven creativity designers, who can help develop and implement AI systems that generate creative content.

These are just some of the jobs in the AI sector. As AI technology continues to advance, new job opportunities are likely to emerge in fields such as explainable AI and AI-driven marketing.

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Can AI replace humans?

AI has come a long way in recent years, and its capabilities are expanding at an unprecedented pace. Many people are concerned that AI technology will eventually replace humans in the workplace and other areas of life, leading to widespread job losses and other negative consequences.

Jobs AI

AI displacing humans – Image via Freepik

While it’s true that AI technology has the potential to automate many tasks that were previously performed by humans, the question of whether AI can replace humans completely is a complex one that depends on many factors. When compared to human skills, there are several areas where AI technology falls short.


One of the most notable limitations of AI technology is its lack of creativity. While AI algorithms can generate novel outputs, such as music or artwork, they do so by following predetermined rules and patterns.

Humans, on the other hand, can create new ideas and concepts that are not bound by pre-existing rules or patterns. This makes human creativity a unique and valuable skill that cannot be easily replicated by AI technology.


Another area where AI technology falls short is empathy. While AI algorithms can be programmed to recognize emotions and respond accordingly, they lack the ability to truly understand and empathize with human experiences.

Complex decision-making

AI technology is particularly effective at performing simple, routine tasks, such as data entry or image recognition. However, when it comes to complex decision-making, AI technology often falls short. This is because complex decision-making often requires a deep understanding of context and the ability to make nuanced judgments based on that context. 

With the ability to consider multiple factors and weigh different options, humans are better suited to complex decision-making than AI technology.


Another limitation of AI technology is its lack of adaptability. While AI algorithms can learn from data and make predictions based on that data, they struggle to adapt to new situations or unforeseen circumstances.


Finally, while AI algorithms can be programmed to communicate with humans, they cannot communicate in the same nuanced and complex ways that humans do. Human communication involves much more than just conveying information; it involves factors such as tone, body language, and context. Humans can communicate effectively in a wide range of situations, making communication a uniquely human skill.

It’s also worth noting that AI technology is still in its early stages, and there are many limitations and challenges to be overcome before it can fully replace humans in many industries. One of the biggest challenges is ensuring that AI technology is developed and used ethically and does not perpetuate biases or harm human welfare.

Upskilling for AI Jobs

Working together with AI – Image via Freepik

As technology continues to evolve, it’s important for you to stay ahead of the curve by continuously learning and upskilling. Here are some tips for identifying the necessary skills for AI jobs and resources for upskilling:

Identifying the necessary skills for AI jobs

Identifying the necessary skills for jobs in AI can be a challenge, given the wide range of roles and requirements within the field. However, some key skills that are often sought after by employers in different industries include:

Data analysis and management

Data analysis is a critical component of many AI jobs, so you should be proficient in data management tools and techniques such as:

  • SQL
  • Python
  • R
  • Infrastructure management 
  • Quantitative modeling
  • Marketing analytics
  • Big Data 

Machine learning 

Machine learning is a core component of many AI applications, so you should have a strong understanding of algorithms, models, and frameworks such as:

  • TensorFlow
  • Keras knowledge
  • Scala 
  • Python

Natural language processing

Natural language processing is a rapidly-growing area of AI, so you should have a good understanding of the following:

  • Linguistics 
  • Syntax
  • Language models
  • ML methods
  • Java
  • R
  • ML framework

Software development

Many AI jobs require custom software development, so you should be proficient in software development AI and languages such as:

  • Java
  • C++
  • Python

Resources for upskilling

Fortunately, there is a wide range of resources available for you to upskill in AI-related fields. Some options include:

Online courses

There are many online courses and bootcamps available for AI-related skills, such as:

  • Udacity’s AI nanodegree program
  • Coursera’s machine learning course
  • edX’s natural language processing course


Many vendors and organizations offer certifications in AI-related skills, such as:

  • Microsoft’s Azure AI engineer associate certification 
  • Google’s TensorFlow developer certification
  • Amazon’s AWS artificial intelligence certification.

Open-source projects

Contributing to open-source AI projects, such as TensorFlow or Apache MXNet, can be a valuable way to gain hands-on experience and build your skills.

Job search strategies for AI positions

When searching for AI jobs, it’s important to be strategic in your approach. Some tips for job search strategies for AI positions include:

Using job search engines

Use job search engines such as Indeed, Glassdoor, and LinkedIn to search for jobs in AI that match your skills and experience.

Looking for AI-specific job boards

Several job boards specialize in AI positions, such as and Indeed AI. These job boards can be a great resource for finding AI jobs that may not be listed on other job search engines.

Leverage your professional network

Building a professional network in the AI community can be a valuable way to learn about new job openings and connect with potential employers. Attend industry events, join online AI communities, and participate in AI-related projects to build your network.

Consider internships and entry-level positions

If you are new to the AI field, consider internships or entry-level positions to gain experience and build your skills. Many companies offer internship programs specifically for students and recent graduates.

Building a professional network in the AI community

Building a professional network in the AI community can be a valuable way to learn about new job openings, connect with potential employers, and stay up-to-date on the latest trends and technologies in the field. Some tips for building a professional network in the AI community include:

  • Attend conferences, workshops, and other industry events such as the AI summit or the conference on neural information processing systems (NeurIPS) to meet other professionals in the field and learn about new technologies and trends.
  • Join online communities such as Reddit’s AI community, LinkedIn groups, and other forums to connect with other professionals and participate in discussions about the latest developments in the field.
  • Participate in open-source AI projects or contribute to AI-related blogs and publications to build your credibility and visibility in the field.
  • Follow AI thought leaders on social media, attend their talks and presentations, and engage with them to learn about new developments in the field and build relationships.


Thriving in the age of automation

AI technology is transforming the job market and creating new opportunities for skilled professionals. Embracing AI technology and developing the necessary skills to work with it can lead to rewarding career opportunities in fields such as data science, ML, and NLP.

However, it’s important to emphasize the importance of continuous learning and adaptability as technology continues to evolve and new opportunities emerge. By staying informed about the latest trends and developments in the field and being open to new experiences and opportunities, you can position yourself for success in the age of automation. 

With the right skills and mindset, AI technology can be a powerful tool for enhancing human performance and achieving the best outcomes in a wide range of industries.


Kamina is a content writer at AMBCrypto. With a Journalism degree and MBA in International Business, she expertly navigates blockchain, crypto, and AI, melding her academic insights with future-forward interests to create compelling narratives that educate and inspire in the evolving digital landscape.
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